1. Introduction
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system characterized by demyelination and neurodegeneration, leading to neurological disability and impaired quality of life [
1]. The heterogeneity of MS manifestations poses challenges in disease management and underscores the need for effective therapeutic strategies [
2].
Disease-modifying therapies (DMTs) have transformed the MS treatment landscape by reducing relapse rates and slowing disease progression [
3]. Among these, ocrelizumab, a humanized monoclonal antibody targeting CD20-positive B cells, has shown efficacy in both relapsing and primary progressive forms of MS [
4]. Clinical trials have demonstrated ocrelizumab’s ability to reduce relapse rates and delay disability progression [
5].
Despite clinical trial success, real-world data on ocrelizumab’s long-term effectiveness and impact on quality of life remain limited [
6]. Prospective studies are essential to understand the drug’s performance outside controlled environments and across diverse patient populations [
7]. Such studies can provide insights into treatment adherence, safety profiles, and patient-reported outcomes, which are crucial for comprehensive MS management [
8].
Quality of life in MS patients is affected by physical disability, cognitive impairment, and psychological factors [
9]. Previous research indicates that improvements in clinical measures do not always translate into enhanced quality of life [
10]. Therefore, evaluating patient-reported outcomes alongside clinical and radiological assessments is vital [
11]. Moreover, magnetic resonance imaging (MRI) serves as a key tool in monitoring MS disease activity and treatment response [
12]. MRI findings, such as T2 lesion load and gadolinium-enhancing lesions, correlate with clinical outcomes and can guide therapeutic decisions [
13].
In the pivotal OPERA I and OPERA II trials, ocrelizumab was shown to reduce the annualized relapse rate by approximately 46% compared to interferon beta-1a and significantly decreased the number of new or enlarging T2 lesions and gadolinium-enhancing lesions on MRI scans [
4,
5]. Additionally, the ORATORIO trial established ocrelizumab’s effectiveness in primary progressive MS, showing a marked reduction in disability progression as measured by the Expanded Disability Status Scale (EDSS) over a two-year period [
4]. Real-world studies further corroborate these findings, indicating that ocrelizumab not only stabilizes but can also improve disability status and minimize disease activity across diverse patient populations [
14].
This prospective study aims to evaluate the effectiveness of ocrelizumab in reducing DP and improving the disability status in both RRMS and PPMS patients over a two-year period. By analyzing clinical data, and MRI findings, we seek to provide real-world evidence of ocrelizumab’s impact. Understanding the multifaceted effects of ocrelizumab can inform clinical practice and optimize patient care. This study also explores subgroup analyses to identify factors associated with better treatment response, which could aid in personalizing MS therapy [
15].
2. Materials and Methods
2.1. Study Design and Setting
This prospective, observational cohort study was conducted at the Neurology Department of “Pius Brinzeu” Clinical Emergency Hospital in Western Romania between July 2020 and July 2024. The study aimed to evaluate the effectiveness of ocrelizumab in patients with multiple sclerosis over a two-year follow-up period. Ethical approval was obtained from the Institutional Review Board (IRB) of the hospital, and written informed consent was obtained from all participants prior to enrollment. The study was conducted in accordance with the Declaration of Helsinki and adhered to Good Clinical Practice guidelines.
2.2. Participants and Inclusion Criteria
Patients eligible for inclusion were adults aged 18 to 65 years with a confirmed diagnosis of relapsing-remitting MS (RRMS) or secondary progressive MS (SPMS) according to the 2017 revised McDonald criteria [
16]. Inclusion criteria required that patients were treatment-naïve or had an inadequate response to at least one previous disease-modifying therapy (DMT). All patients were scheduled to initiate ocrelizumab therapy as part of their clinical care.
Exclusion criteria included primary progressive MS (PPMS), previous treatment with ocrelizumab, pregnancy or breastfeeding, active infection, history of malignancy, or any other significant medical condition that could interfere with the study. Patients with contraindications to MRI or those unable to complete the required assessments were also excluded. Patients who discontinued ocrelizumab treatment were also excluded from the final analysis.
A total of 110 patients were initially enrolled in the study. During the two-year follow-up period, 12 patients discontinued ocrelizumab treatment. The reasons for discontinuation included adverse events (n = 5), lack of efficacy (n = 4), and personal reasons (n = 3). These patients were excluded from the final analysis, resulting in 98 patients who completed the study. Baseline demographic and clinical characteristics, including age, gender, disease duration, MS subtype, and prior treatments, were recorded. Patients were stratified into subgroups based on gender, age at diagnosis (≤25 years vs. >25 years), and previous treatments for subgroup analyses.
2.3. Data Collection and Outcome Measures
Data collection for the study was comprehensive, encompassing clinical evaluations, laboratory tests, and MRI scans, all conducted at baseline and then at six-month intervals throughout the two-year follow-up period. Clinical assessments included the use of the Expanded Disability Status Scale (EDSS) by trained neurologists who were blinded to subgroup assignments, to measure neurological impairment and disability [
17]. Additionally, relapse assessment was defined by the emergence of new or worsening neurological symptoms that lasted at least 24 h, occurring in the absence of fever or infection. Confirmed disability progression (CDP) was measured through the EDSS at 6 months, and was identified as an increase of ≥1.5 points with baseline EDSS = 0; ≥1.0 with baseline EDSS score ≤5.0; and ≥0.5 points with baseline EDSS > 5.5. Moreover, the occurrence of relapses was expressed as annualized relapse rate (ARR), comparing the period before and after starting the DMT.
MRI assessments were standardized using a 1.5 Tesla scanner to capture T1-weighted, T2-weighted, and fluid-attenuated inversion recovery (FLAIR) images, both with and without gadolinium contrast enhancement. The key outcomes from these scans included the number of new or enlarging T2 lesions, the presence of gadolinium-enhancing lesions, and changes in lesion burden and brain atrophy. This structured approach allowed for a detailed tracking of disease progression through imaging.
To accurately assess changes in brain, corpus callosum, and spinal cord atrophy, this study employed GE’s AW VolumeShare 5 software for volumetric analysis. MRI sequences utilized included T1-weighted, T2-weighted, and FLAIR images for detailed visualization of black holes and spinal cord lesions. Regarding spinal cord lesions, the analysis specifically focused on confluent lesions due to their higher clinical relevance and stronger correlation with disability progression in MS patients.
Stratification was initially conducted by gender and age at MS diagnosis, with a cutoff of 25 years, to explore developmental and potentially hormonal influences on disease progression and therapy effectiveness. This age threshold was chosen based on previous studies suggesting potential differences in disease manifestation, confirming a bimodal peak, corresponding to the 25–34 and 45–54 age groups [
18]. Subsequent stratifications involved previous disease-modifying therapy and MS subtype (RRMS vs. SPMS) to assess the impact of prior treatments and disease stage on ocrelizumab’s efficacy. Each stratification aimed to refine our analysis and provide insights tailored to specific patient groups, though not all stratifications were used in each analysis table.
2.4. Statistical Analysis
Statistical analyses were conducted using SPSS version 26.0 (IBM Corp., Armonk, NY, USA), where continuous variables were expressed as means ± standard deviations (SD) and categorical variables as frequencies and percentages. The distribution of the data was evaluated for normality using the Shapiro–Wilk test. Within-group comparisons of baseline and two-year follow-up data utilized paired t-tests for normally distributed continuous variables and Wilcoxon signed-rank tests for those not normally distributed. For between-group comparisons involving multiple groups, an analysis of variance (ANOVA) was employed for normally distributed data, while the Kruskal–Wallis test was used for non-normal data. Post hoc analyses with Bonferroni correction were conducted to control the family-wise error rate and adjust for multiple comparisons.
Categorical variables were analyzed using Chi-square tests or Fisher’s exact tests to compare proportions between groups. In terms of multivariate analyses, multiple linear and logistic regression models were used to identify factors independently associated with outcomes, including variables with a p-value of less than 0.10 in univariate analyses and interaction terms to assess potential effect modification by factors such as gender and previous treatments. Missing data were evaluated for patterns and handled using statistically appropriate methods, including multiple imputations when necessary.
Statistical significance was determined at a p-value of less than 0.05 for all analyses unless specified otherwise due to adjustments for multiple comparisons, and all statistical tests were conducted as two-tailed. This comprehensive analytical approach ensured rigorous evaluation and interpretation of the study’s findings.
3. Results
Table 1 presents the baseline characteristics of the study population, stratified by gender and age at diagnosis. The total cohort comprised 98 patients, with 38 males and 60 females. The mean age was 44.2 years, with males slightly older than females, although the difference was not statistically significant (
p = 0.215). When stratified by age at diagnosis, significant differences were observed; patients diagnosed at age ≤ 25 years were significantly younger (mean age 24.1 years) compared to those diagnosed after 25 years (mean age 49.3 years,
p < 0.001).
Disease duration was slightly longer in patients diagnosed after 25 years compared to those diagnosed earlier (10.5 vs. 8.6 years, p = 0.046). Baseline EDSS scores did not differ significantly between genders or age groups. The majority of patients had relapsing-remitting MS (RRMS), with no significant differences in MS subtype distribution by gender or age group. Previous treatment exposure was similar across groups, as was the baseline lymphocyte count.
Table 2 summarizes the changes in clinical and MRI outcomes over the two-year follow-up period. The mean EDSS score decreased significantly from 5.2 at baseline to 4.6 at two years (mean change −0.6,
p = 0.032), indicating an improvement in neurological disability. The proportion of patients with confirmed disability progression decreased dramatically from 61.2% to 14.3% (
p < 0.001), highlighting ocrelizumab’s effectiveness in reducing disease activity. The MRI findings showed a significant reduction in disease activity, with the number of patients exhibiting new or enlarging T2 lesions decreasing from 68.4% to 27.6% (
p < 0.001). Similarly, the presence of gadolinium-enhancing lesions decreased from 44.9% to 15.3% (
p < 0.001). Additionally, lymphocyte counts decreased significantly over the two years (mean change −858 cells/mm
3,
p < 0.001), consistent with ocrelizumab’s mechanism of action targeting B cells.
Table 3 presents the changes in EDSS scores over two years, stratified by previous treatment. Patients previously treated with natalizumab showed a significant mean reduction in EDSS score of −1.0 (
p = 0.001), indicating substantial improvement in disability. Those who had received interferon beta-1a or glatiramer acetate showed smaller, non-significant reductions. Patients with no previous treatment also exhibited a slight, non-significant decrease in EDSS scores. The between-group comparison revealed a statistically significant difference (
p = 0.008), suggesting that prior treatment with natalizumab may be associated with a greater response to ocrelizumab.
Table 4 shows the results of a multivariate linear regression analysis predicting the two-year EDSS score. The baseline EDSS score was the strongest predictor of the two-year EDSS score (beta coefficient = 0.65,
p < 0.001), indicating that higher initial disability is associated with higher disability after two years. Previous use of natalizumab was significantly associated with a lower two-year EDSS score (beta = −0.30,
p = 0.013), suggesting that patients previously treated with natalizumab may experience greater benefits from ocrelizumab therapy. Age at diagnosis was also a significant predictor (beta = 0.02,
p = 0.048), with older age at diagnosis associated with higher EDSS scores. Gender and MS subtype approached statistical significance, with males and SPMS subtype trending towards higher EDSS scores, but these did not reach the conventional
p < 0.05 threshold. Disease duration was not a significant predictor in this model.
The proportion of patients with new or enlarging T2 lesions decreased significantly in both RRMS and SPMS groups over the two-year period. In RRMS patients, the proportion decreased from 68.8% at baseline to 25.0% at two years (
p < 0.001). SPMS patients also showed a significant reduction from 66.7% to 38.9% (
p = 0.003). Between-group comparisons did not show a statistically significant difference at either timepoint (
Table 5).
At baseline, 43.8% of RRMS patients and 50.0% of SPMS patients had gadolinium-enhancing lesions. After two years of ocrelizumab treatment, the proportion decreased significantly to 12.5% in RRMS patients (
p < 0.001) and 27.8% in SPMS patients (
p = 0.005). While both groups showed significant reductions, there was no statistically significant difference between RRMS and SPMS patients at either timepoint (
Table 6).
Over the two-year period, the MRI findings indicated that the proportion of patients with brain atrophy increased from 31.6% to 43.9% (
p = 0.105) and corpus callosum atrophy rose from 21.4% to 34.7% (
p = 0.056), though these changes were not statistically significant. Similarly, increases were observed in black holes (26.5% to 39.8%,
p = 0.069), cervical confluent lesions (16.3% to 24.5%,
p = 0.215), and cervical focal atrophy (11.2% to 19.4%,
p = 0.165). In contrast, there were significant decreases in the number of patients with ≥3 new T2 lesions (from 40.8% to 15.3%,
p < 0.001) and those with gadolinium-enhancing lesions (from 44.9% to 16.3%,
p < 0.001), suggesting a reduction in active disease activity over time (
Table 7).
Findings over two years stratified by MS subtype showed that patients with secondary progressive MS (SPMS) had significantly higher rates of brain atrophy compared to those with relapsing-remitting MS (RRMS). At baseline, 61.1% of SPMS patients exhibited brain atrophy versus 25.0% of RRMS patients (
p = 0.007), and by two years, all SPMS patients (100.0%) had brain atrophy compared to 31.3% of RRMS patients (
p < 0.001). Similarly, significant differences were observed in corpus callosum atrophy and black holes at two years (
p = 0.001 and
p < 0.001, respectively), as presented in
Table 8.
Additional findings (
Table 9) indicate that baseline brain atrophy was a significant predictor of disease progression over two years, with an odds ratio of 2.6 (95% CI: 1.25–5.40,
p = 0.012). Higher baseline EDSS scores (OR = 1.35,
p = 0.001) and older age at diagnosis (OR = 1.05,
p = 0.018) were also significant predictors, while previous use of natalizumab was associated with reduced progression risk (OR = 0.58,
p = 0.038); gender and MS subtype did not significantly predict progression.